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Freelance Python Data Analysis Jobs in Tucson, AZ

Data Analyst Senior

Tucson, AZ · On-site +1

$81K - $102K/yr

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Data Analysis and Machine Learning Pipeline Development: * Under moderate guidance collaborate in ... Collaborate in the develop and maintenance of reproducible data pipelines using Python, R, and high ...

Experience with SQL, Python, R or other programming tools. * Experience with project management ... Project manage key data analytics initiatives by leading requirements gathering, coordinating ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Experience in data analysis, including statistics * Experience using MATLAB, Python or similar for data analysis * Experience presenting complicated topics to high level stakeholders * Validate ...

Experience in data analysis, including statistics * Experience using MATLAB, Python or similar for data analysis * Experience presenting complicated topics to high level stakeholders * Validate ...

Legal Counsel - Freelance

Tucson, AZ · Remote

$100 - $120/hr

Uber AI Solutions is Uber's marketplace connecting skilled freelancers with Generative AI ... Root-Cause Analysis: Determine if inconsistencies in data arise from flawed instructions or ...

Digital Analyst Internships

Tucson, AZ

$91K - $108K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Duties & Responsibilities Data Analysis and Machine Learning Pipeline Development: * Under moderate ... Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

MATLAB, Python or C++ scripting ability * Data analysis and working with large data sets MUST be authorized to work in the US, and have personal transportation including a driver's license.

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for freelance python data analysis in Tucson, AZ is $55.43, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $62.93 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Tucson, AZ? The most popular types of Python Data Analysis jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Freelance Python Data Analysis jobs? Cities near Tucson, AZ with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in Tucson, AZ as of June 2026, with employment types broken down into 37% Full Time, 57% Part Time, 2% Temporary, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $115,285 per year, or $55.4 per hour.
Senior Biorepository Data Analyst

Senior Biorepository Data Analyst

University of Arizona

Tucson, AZ • On-site

$81K - $102K/yr

Other

Posted 15 days ago


University Of Arizona rating

7.1

Company rating: 7.1 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

350th of 537 rated colleges and universities


Job description

Data Analytics

  • Gathers, structures and analyzes data from various databases and sources, performs statistical and/or mathematical programming, develops reports and visual representations.
  • Collaborates with interdisciplinary teams to design and implement research projects, with emphasis on phenotyping and clinical data analytics.
  • Extracts, cleans, and organizes biomedical data from multiple sources, including biospecimen, genomic data, imaging data, research study data, and clinical data.
  • Queries clinical, biospecimen, genomic and other biomedical database to support research questions and operational reporting needs.
  • Utilizes software (e.g., R, Python, SAS, etc.) to conduct advanced data analysis and support phenotypic data insights.

Data Management

  • Creates and maintains databases and tools to store and manage data that meet research needs as well as regulatory and organizational standards.
  • Develops and maintains data interfaces and APIs to support optimized data workflows.
  • Develops and updates documentation, standard operating procedures, and guidelines for systems and databases.

Data Quality and Regulatory Compliance

  • Participates in data quality audits and implements improvements in collaboration with the Data Quality, and U of A regulatory teams.
  • Ensures data integrity, security, and confidentiality following HIPAA regulations and organizational policies.
  • Demonstrates an understanding of and proficiency with the application of all compliance and reporting requirements respective HIPAA and OHRP.
  • Advises and guides PIs and other investigators on data regulatory issues.
  • Complies with all data and operational standards of the IT, BI and Informatics Departments.

Researcher Support

  • Provides training for staff involved in data management and research analytics, supporting capacity-building efforts.
  • Provides expert level consultation services to researchers.

Other

  • May provide mentoring or supervision to students, or junior research staff.
  • Make recommendations for improvement to management.

Knowledge, Skills, and Abilities:

  • Knowledge of HIPAA and human subjects research data regulatory requirements.
  • Ability to gather, listen and respond to feedback to ensure the data system meets stakeholder needs.
  • Strong organizational skills, ability to work independently and meet project deadlines.
  • Strong data query analysis skills including SQL..
  • Knowledge of healthcare coding systems (e.g., ICD, LOINC, RxNorm, CPTetc.).
  • Knowledge of Epic data structures and query tools (e.g. clarity, caboodle, cogito).
  • Knowledge of biobanking software and workflows.

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